Data Scientist - Executive - - 18105 - Macquarie Group

Join our Enterprise Technology division and help shape the future of staff productivity and automation through innovative Generative AI solutions. Our team collaborates with a team of skilled professionals dedicated to building secure, scalable, and cutting-edge technology platforms.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

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In this role, you will play a key role in harnessing data to drive strategic decision-making and deliver actionable insights across the organisation. You will apply advanced statistical techniques, machine learning models, and data engineering practices to solve complex business challenges in areas such as risk management, customer experience, team assistant tools, and operational efficiency.

What you offer

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Proficiency in programming (Python, SQL) and familiarity with Gen AI frameworks (e.g., LangChain).
Expertise in fine-tuning large language models, prompt engineering, and optimising RAG-based solutions.
Monitor, optimise, and ensure scalability/efficiency of AI models in production environments.
Strong communication skills to explain complex concepts and excellent problem-solving abilities in both independent and team settings.
Implement innovative tools, techniques, and frameworks to enhance AI and analytics capabilities.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

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At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

1 wellbeing leave day per year
26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
Company-subsidised childcare services
2 days of paid volunteer leave and donation matching
Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members
Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment

About Technology

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Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

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We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

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